Add files using upload-large-folder tool

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+tables/annotation_human_protein_atlas_proteinatlas.json.gz.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-sa-4.0
+pretty_name: Human Protein Atlas
+size_categories:
+  - 10K<n<100K
+task_categories:
+  - other
+language:
+  - en
+tags:
+  - biology
+  - proteins
+  - annotation
+  - human-protein-atlas
+  - jsonl
+---
+
+# Human Protein Atlas
+
+Per-protein annotations from the Human Protein Atlas (proteinatlas.json), normalized to newline-delimited JSON with row-level provenance.
+
+Processed and uploaded by the [MegaData](https://github.com/) post-download pipeline
+(internal repo). Original source: <https://www.proteinatlas.org/about/download>.
+
+## Statistics
+
+| | |
+|---|---|
+| Table files | 1 |
+| Total rows | 20,162 |
+| Total bytes | 148.67 MiB (155,892,614) |
+
+## Tables
+
+| Table | Rows | Bytes |
+|---|---:|---:|
+| `annotation_human_protein_atlas_proteinatlas.json.gz.jsonl` | 20,162 | 148.67 MiB |
+
+## Layout
+
+```
+.
+├── _MANIFEST.json                 # aggregate manifest (per-table counts)
+└── tables/<source_slug>.jsonl    # normalized rows (one JSON object per line)
+```
+
+Each line in a `tables/*.jsonl` file is a JSON object with at least
+`dataset_id`, `row` (the raw upstream row), `row_index`, and `source_file`
+fields, so every row carries its upstream provenance.
+
+## Loading
+
+```bash
+hf download LiteFold/HumanProteinAtlas --repo-type dataset --local-dir ./human_protein_atlas
+```
+
+Programmatic streaming:
+
+```python
+import json
+from pathlib import Path
+from huggingface_hub import snapshot_download
+
+local = snapshot_download(repo_id="LiteFold/HumanProteinAtlas", repo_type="dataset")
+for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
+    with jsonl.open() as f:
+        for line in f:
+            row = json.loads(line)
+            ...  # row["row"] is the upstream record
+```
+
+## License
+
+CC BY-SA 4.0 (Human Protein Atlas).
+
+## Citation
+
+> Uhlen M, et al. Tissue-based map of the human proteome. Science, 347(6220):1260419, 2015.
+
+## Provenance
+
+Built from the local manifest entry `human_protein_atlas` of `manifests/atlas_download_plan.json`.
+Pipeline source: `megadata-post normalize --dataset human_protein_atlas --tables-only`.

_MANIFEST.json

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+{
+  "category": "annotation",
+  "dataset_id": "human_protein_atlas",
+  "format": "jsonl table rows with provenance",
+  "tables": [
+    {
+      "bytes": 11407303,
+      "category": "annotation",
+      "dataset_id": "human_protein_atlas",
+      "output_file": "data/processed/annotation/human_protein_atlas/tables/annotation_human_protein_atlas_proteinatlas.json.gz.jsonl",
+      "rows": 20162,
+      "source_file": "annotation/human_protein_atlas/proteinatlas.json.gz",
+      "status": "ok"
+    }
+  ],
+  "total_rows": 20162
+}

tables/annotation_human_protein_atlas_proteinatlas.json.gz.jsonl

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